Top Data Engineer Jobs in Warsaw

The role involves managing system requirements and development for corporate applications, implementing data engineering processes, creating self-serve tools for data analysis, and optimizing existing solutions. The engineer collaborates with stakeholders to understand business needs and executes a range of data engineering projects.

The Staff Data Engineer will design and develop high-availability systems, creating new products and improving existing ones. Responsibilities include collaborating with stakeholders, instilling best software practices, monitoring platform health, generating performance reports, and coordinating CI activities. The role requires building ETL pipelines and low latency data APIs.

Design and develop high-availability systems and enhance existing products. Work with various stakeholders to meet business requirements while applying best practices. Monitor platform health and performance, coordinate CI activities, and continuously improve processes.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

The Data Developer at Sphera focuses on regulatory data and the business layer of large applications. Responsibilities include designing, developing, troubleshooting, and enhancing data product solutions while maintaining data updates through various programming methods.

As a Data Engineer, you will design and optimize data pipelines in an AWS environment using PySpark, ensuring data quality and working collaboratively with teams to meet business needs.

The Senior Data Engineer/Analyst will design and maintain scalable data pipelines, optimize ETL processes, and build a data warehouse. This role also involves conducting in-depth data analyses for marketing and product performance, developing dashboards, and presenting insights to stakeholders.

Lead a team to manage a self-service AI portal and microservices, collaborate with cross-functional teams to enhance data pipelines, evaluate software options, and implement engineering best practices. Requires expertise in data architecture and cloud services, with opportunities to work on backend or ML/AI projects.

As a Senior Data Engineer, you will develop and maintain data warehousing and ETL solutions, create data models for the Data Mart layer, and support BI reporting applications within a team focused on regulatory reporting.

The Senior Data Engineer will design, develop, and maintain data pipelines, write complex SQL queries, implement data models in Snowflake, and develop Python and C# scripts for data processing. The role involves collaboration with data analysts and ensuring data quality while optimizing data storage and performance.

As a Senior Data Analytics Engineer at TransferGo, you will develop and support dbt models, implement data validation rules, build and maintain data products, and optimize data transformations. You will guide data users on product usage and enforce data governance while communicating data quality issues with product teams.

The Staff Data Engineer and Team Lead at GSK is responsible for leading a team of world-class data engineers to build automated, scalable, and sustainable pipelines to meet evolving scientific needs. They collaborate with other teams to ensure best-in-class engineering practices and drive engineering efficiencies within the organization.

As a Senior Data Engineer, you will optimize data pipelines and manage time series data within Azure, employing Python and SQL to analyze energy pricing and consumption for B2B and B2C clients. You'll collaborate within an Agile team to ensure data integration and reliable insights.

As a Senior Data Engineer, you will design and build complex data pipelines, optimize data storage solutions, collaborate with data analysts, and implement features using tools like Kedro and PySpark, ensuring data-driven decisions are made for the organization.

The Senior Data Engineer will design and build scalable data pipelines, implement ETL/ELT processes, and maintain the Data Warehouse. Collaborating with stakeholders to meet data needs, the role involves troubleshooting data issues, ensuring compliance, and developing documentation for data engineering processes in an agile environment.

The Senior Data Engineer will design, develop, and maintain scalable data pipelines, integrate real-time streaming data, and ensure efficient data storage and querying. Responsibilities include utilizing Databricks for transformations, managing Azure IoT Hub, and collaborating with teams to deliver data-driven solutions while ensuring quality and reliability.

As a Senior Data Analytics Engineer, you will develop and support dbt models, maintain data products, implement data governance, build data quality monitors, and communicate data quality issues to product teams. You will work with performance tuning on analytics databases and guide data users on best practices.